There are 5 data sources to answer this question. The question is in the last photo. The data sources are in order from 1-5. Please solve the question. Please read all data sources to answer your question, but focus on data source 4 the most.

The Human Element Posted on December 11th, 2020 | 0 comments People working in Australia are now The rise of automation has been hailed as the solution to all of society's ills by the tech working an average elite. By removing the 'human element' from the job, the thinking goes, we can produce 20.3 hours a week when more, faster, better and cheaper. The problem with this is that the 'human element' holidays are taken into here is, well, human. By removing people from these roles, we are looking at creating account de-employment on a massive scale. There is little we can do to stop the advance of this technology and it is all coming at too quick a pace for regulators to account for. Analysts We already see evidence of a lack of opportunity to work in our society. People working predict that 50% in Australia are now working an average 20.3 hours a week when holidays are taken of current jobs will Australia into account. They are earning an average of $1713 a week. Australia currently has an be lost in the next currently has an unemployment rate of 4.6 % with 636700 people currently unemployed. Tech analysts 7 to 8 years unemployment rate are predicting that we will lose 50% of current jobs in the next 7 or 8 years. Population of 4.6 % with 636700 increases year on year of 0.8% will further compound this issue. All of this leads one to people currently ask, what will people do for work in an automated future? unemployed So, what will a post-automation society look like? By separating capital generation Australia's completely from labour, we are set to embark on an age of mass unemployment, the average weekly likes of which we have never seen. earning is $1713 Mass unemployment is likely to create large proportions of our society without a productive outlet or sense of identity, as well as widening the gap between rich and poor. This future could be a very bleak one indeed.The possibility of having robots or mechanical assistants completing our laborious. dangerous, or repetitive day-to-day tasks has long been a dream of humanity. Now. as Robotic Process Automation (RPA) becomes commonplace, this dream or concern, depending on viewpoint - is getting closer. RPA far from the walking. talking android commonly found in science ction series, can be thought of as a programmable piece of software which, through using a series of rules. will complete repetitive tasks with a lower error rate and less interruption than a human completing the same tasks. The aim of RPA. beyond improving efciency, is to free up humans from the monotony of roles like data entry, stock management and predictable physical work, to focus on more critical. unpredictable tasks such as decision making, interpreting, and delivering insight to customers. Ask any expert and you can almost guarantee that they will inform you that years of data reliably point to the conclusion that automation has always created more jobs than it has removed. The invention of the plough has allowed us to stop working on farms and technology has continued in this fashion. boosting productivity and. in turn, providing greater work satisfaction and improved living standards. It is currently estimated that 3% of roles could be entirely automated using the technology we have available to us now. By 2025 this will have risen to around 35%. by 2030 it will be at 50% and by 2080 scientists are predicting advanced articial intelligence (AI) technologies will have replaced 85% of current jobs. A more astonishing gure is the 42% of roles which could be made more efcient, more productive, and more enjoyable through automating individual tasks within the wider role. This is not spread evenly across industries. however - certain industries, like waste management. an industry with a $50 billion salary bill in Australia, where many humans are currently paid 'hazard pay' to do dangerous but repetitive tasks. is seen as the Australian industry with the highest potential for automation. As we begin to enter this Fourth Industrial Revolution. it is becoming apparent that there is a separation of organisations into two clear groups: those who are using basic digitisation to support their business, and those who have re-examined the way they do business and integrated combinations of technologies, including RPA. to great effect. 50. should we run for the hills or turn and embrace RPA? The answer is not clear but. looking at those who have benetted from this technoloy already, preparation for automation will be key. "By 2080 screntlsts are predicting advanced articial intelligence (Al) technologies will have replaced 85% of current jobs\" Robotic Process Automation - Where does it fit in? (503) Automated Processing Text Generation and Learning Higher-Level Thinking Robotic Process Automation (RPA) Natural Language Generation (NLG) Intelligent 'Chat-Bots' Used for rules-based, simple, repetitive processes Used for converting data into natural Automates interactions online language text Encourages: Encourages: Used in: . Faster handling time . Learning from individual customers . Higher volumes . Generating form letters and creating stories based on data Used in: . Reduced errors and costs . Retail Unstructured Data Conversion Machine Learning Intelligent Assistance Asks questions to find patterns in data and Learns from cause and effect analysis Learns from stimuli as new scenarios are converts the unstructured into structured presented Encourages: Encourages: Encourages: . Forecasting . Greater data mining . Decision making . Additional consultation . Work with unusual forms of data Used in: Used in: Used in: . Financial forecasting . Medical diagnosis Converting emails, contracts and receipts into structured dataWhat timescale is the title of the graph in Data Source 4 most likely to be referring to when it says 'Future'? Select the best answer from the options below. Please note, there are FIVE sources of data information, which you can scroll through. Click on the images above to enlarge them. O 2080 2050 2030 O 2028 2020X Technical feasibility of job automation Likelihood of automating job tasks Predictable Physical Work . .... . &.... Data Processing Data Collection Unpredictable Physical Work .. .... Stakeholder Interactions Applying Expertise with Clients ... .. ...... Managing Others 70% 75% 80% 40% 45% 55% 60% 65% 30% 35% 50% 0% 5% 10% 15% 20% 25% % of Task which Could be Automated | % of Time Spent on Tasks in all Australian OperationsX Likelihood of industries becoming automated in the future Proportion of jobs and their risk of automation. Note: the graph shows a linear decrease in the proportion of jobs at risk of full automation. 60% 55% 50% 45% 40% 35% ....... 30% 25% 20% 15% 10% 5% 0% Waste Management Transportation and Manufacturing Retail Administration Finance and Electricity and Gas Other Storage Insurance Proportion of Jobs at Risk of Full Automation Employment Share of Total Jobs